Robotics & Machine Learning Daily News2024,Issue(Jun.17) :51-52.

Data on Robotics Detailed by Researchers at Institute for Computer Science and Control (Object Detection Using Sim2real Domain Randomization for Robotic Applications)

计算机科学与控制研究所研究人员详细介绍的机器人数据(使用Sim2real领域随机化进行机器人应用的目标检测)

Robotics & Machine Learning Daily News2024,Issue(Jun.17) :51-52.

Data on Robotics Detailed by Researchers at Institute for Computer Science and Control (Object Detection Using Sim2real Domain Randomization for Robotic Applications)

计算机科学与控制研究所研究人员详细介绍的机器人数据(使用Sim2real领域随机化进行机器人应用的目标检测)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于机器人的新报告。根据NewsRx记者S在匈牙利布达佩斯的新闻报道,研究表明,“在非结构化环境中工作的机器人必须能够感知和解释周围环境。机器人领域基于DE EP学习模型的主要障碍之一是缺乏针对不同工业应用的特定领域标记数据。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news reporting from Budapest, Hungary, by NewsRx journalist s, research stated, “Robots working in unstructured environments must be capable of sensing and interpreting their surroundings. One of the main obstacles of de ep-learningbased models in the field of robotics is the lack of domain-specific labeled data for different industrial applications.”

Key words

Budapest/Hungary/Europe/Emerging Technologies/Machine Learning/Robotics/Robots/Institute for Computer Science and Control

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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